iPhone14,7
Geekbench ML Score
923
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 09:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
793
85.0 IPS |
|
|
Image Classification (F16)
|
100% |
750
80.4 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1111
6.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
1079
6.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1458
9.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
485
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1096
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1086
38.1 IPS |
|
|
Object Detection (I8)
|
52% |
775
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1307
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
948
375.0 IPS |
|
|
Text Classification (F16)
|
100% |
986
390.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2060
317.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2062
317.7 IPS |
